{"schemaVersion":"jobsearcher.job.v1","id":"2c3dc61fa955ab0dc2f770e2","url":"https://jobsearcher.com/jobs/2c3dc61fa955ab0dc2f770e2","canonicalUrl":"https://jobsearcher.com/jobs/2c3dc61fa955ab0dc2f770e2","title":"Data Analytics Analyst 1","description":"Position Overview\n\nThe Data Analytics Analyst 1 will serve in a key support role within the Operations Data Analytics Department.\n\nThis position is responsible for supporting the onboarding of new generation assets and updating existing assets within enterprise systems for current and future construction projects, acquisitions, modernization initiatives, and large-scale retrofit projects.\n\nGeneration assets may include:\n\nSolar generation\nBattery Energy Storage Systems (BESS)\nCombined Cycle (CC) units\nCombustion Turbine (CT) units\nHydroelectric modernization projects\nEnvironmental retrofit projects\nOther generation assets and capital projects\n\nThe successful candidate will participate in project teams, gather and analyze equipment-related data, verify information with subject matter experts, and ensure accurate asset information is incorporated into Southern Company’s work management systems.\n\nThis role combines data analytics, technical data management, field verification, business process support, and asset management generation.\n\nKey Responsibilities\nGeneration Asset Onboarding\nSupport the onboarding of new generation assets into enterprise systems.\nUpdate existing generation assets associated with construction projects, acquisitions, modernization activities, and plant upgrades.\nGather equipment-related information from engineering documents, project teams, plant personnel, and subject matter experts.\nValidate asset information before entry into work management systems.\nAssist with developing appropriate equipment hierarchies.\nEnsure assets are accurately categorized within systems and subsystems.\nSupport data readiness prior to commercial operation of new generation assets.\nEquipment Data Management\nCreate, review, and maintain equipment records.\nSupport development and maintenance of:\nEquipment hierarchies\nPreventive maintenance activities\nJob plans\nInventory information\nAsset-related technical data\nReview equipment information for completeness, accuracy, and consistency.\nWork with plant representatives and project teams to resolve data discrepancies.\nEnsure accurate equipment identification and descriptions.\nD-11 Equipment Identification Standard\nSupport adherence to the D-11 Southern Company Equipment Identification and Description Standard.\nProvide guidance regarding appropriate equipment systems and subsystems.\nAssist project and plant teams with proper equipment classification.\nPromote standardization and consistency across equipment records.\nHelp ensure data entered into enterprise systems aligns with established Southern Company standards.\nData Analytics & Technical Analysis\nPerform daily analysis of technical and operational data.\nAnalyze data from multiple sources to identify inconsistencies, patterns, trends, and opportunities.\nAssist with data mining and data validation activities.\nDevelop insights that support operations, maintenance, and project decision-making.\nCompare similar generating units to identify differences and opportunities for improvement.\nAssist in identifying repeat issues or failures through data analysis.\nApply lessons learned and best practices across the generation fleet.\nData Integration & ETL\nSupport data extraction, transformation, and loading (ETL) processes.\nWork with multiple data sources and databases.\nPrepare and transform data for analysis and reporting.\nAssist with integrating data into work management and analytical systems.\nValidate data quality throughout the integration process.\nSupport process improvements that enhance data reliability and accessibility.\nWork Management System Support\nSupport data entry and maintenance within Maximo.\nAssist with developing equipment hierarchies within the work management system.\nReview equipment and maintenance information prior to system entry.\nSupport plants and project teams with Maximo-related data requirements.\nHelp ensure maintenance strategies are accurately incorporated into the system.\nAssist with identifying and resolving asset-data issues.\nMaintenance Strategy Development\n\nWork with project managers, plant personnel, engineers, and subject matter experts to:\n\nIdentify appropriate maintenance strategies.\nDevelop or review preventive maintenance activities.\nCreate or review job plans.\nSupport inventory-data development.\nEnsure appropriate maintenance information is available prior to plant commercial operation.\nAssist plants with maintaining consistent maintenance-data practices.\nField & Plant Support\n\nThis position requires significant interaction with Southern Company generating facilities.\n\nResponsibilities may include:\n\nVisiting generating plants.\nPerforming equipment walk-downs.\nVerifying asset and equipment information in the field.\nComparing field conditions with technical documentation.\nWorking directly with plant personnel.\nAssisting with plant questions and data concerns.\nGathering information necessary to update enterprise systems.\nSupporting project and operational teams during site visits.\n\nCandidates must be comfortable working in industrial generation environments.\n\nRequired Qualifications\nExperience\nApproximately 1–3 years of relevant data analytics, engineering, technical data, asset management, or related professional experience.\nExperience working with large datasets and multiple data sources.\nExperience analyzing and presenting technical or business data.\nDemonstrated ability to identify, evaluate, and resolve data-related issues.\nAbility to organize and manage multiple assignments simultaneously.\nEducation\n\nA Bachelor of Science degree is preferred in:\n\nEngineering\nBusiness\nComputer Science\nData Science\nAnalytics\nInformation Systems\nMathematics\nStatistics\nRelated technical discipline\n\nAppropriate professional experience may be considered in lieu of a degree.\n\nTechnical Skills\n\nCandidates should possess experience or working knowledge in the following areas:\n\nData Analysis & Programming\nPython\nR\nSQL\nStatistical analysis\nData transformation\nData cleansing\nData mining\nData visualization\nData Visualization\n\nExperience with one or more of the following:\n\nTableau\nPower BI\nMatplotlib\nSeaborn\nMicrosoft Reporting Services\nComparable reporting or visualization platforms\nData Integration\nETL processes\nData extraction\nData transformation\nData loading\nMulti-source data integration\nDatabase querying\nData-quality validation\nWork Management & Enterprise Tools\n\nExperience with or exposure to:\n\nMaximo\nMicrosoft Office\nAI-enabled analytical tools\nEnterprise asset-management systems\nReporting and analytics applications\nStatistical & Analytical Skills\n\nThe successful candidate should demonstrate knowledge of:\n\nStatistical analysis\nHypothesis testing\nData validation\nTrend analysis\nPredictive modeling concepts\nMachine learning fundamentals\nData-quality analysis\nBusiness and technical reporting\n\nExperience applying machine learning techniques to predictive modeling is beneficial.\n\nKnowledge, Skills & Competencies\n\nThe successful candidate should demonstrate:\n\nStrong analytical and problem-solving skills.\nAbility to work with technical and operational data.\nExcellent attention to detail.\nAbility to identify inconsistencies and errors within large datasets.\nStrong organizational skills.\nAbility to manage multiple projects and priorities simultaneously.\nAbility to distinguish urgent issues from matters that allow additional time for resolution.\nStrong written and verbal communication skills.\nAbility to work collaboratively with project managers, engineers, plant personnel, and technical specialists.\nAbility to work independently with limited supervision.\nAbility to quickly build effective working relationships.\nStrong customer-service orientation.\nQuestioning attitude and willingness to validate information.\nCommitment to continuous improvement.\nPreferred Qualifications\n\nAdditional consideration will be given to candidates with experience in:\n\nElectric utility operations\nPower generation\nGeneration plant operations\nAsset management\nEnterprise work management\nMaximo\nTableau\nPower BI\nMicrosoft Reporting Services\nAI-assisted analytics\nEquipment hierarchy development\nPreventive maintenance programs\nReliability or maintenance data\nGeneration construction projects\nRenewable energy projects\nBattery Energy Storage Systems\nGas-fired generation\nHydroelectric generation\nBehavioral Attributes\n\nSuccessful candidates should demonstrate Southern Company values, including:\n\nSafety First\nIntentional Inclusion\nAct With Integrity\nSuperior Performance\n\nCandidates should also demonstrate:\n\nTeamwork and collaboration.\nSelf-motivation.\nResults orientation.\nStrong work ethic.\nGoal-focused performance.\nStrong organizational skills.\nExcellent communication.\nAttention to minute details.\nContinuous improvement mindset.\nWillingness to ask questions and verify information.\nAccountability for assigned responsibilities.\nTravel Requirements\n\nThis position requires significant travel throughout the Southern Company Generation fleet.\n\nCandidates must be willing and able to:\n\nTravel approximately 50% per year.\nTravel to generating plants and project sites.\nParticipate in overnight travel.\nConduct field walk-downs of generating equipment.\nWork with plant personnel in active industrial environments.\nTravel based on project and operational requirements.\nPhysical Requirements\n\nBecause this position includes generating-plant field support, candidates must be able to:\n\nWork at a computer workstation for extended periods.\nStand and walk for extended periods during plant visits.\nNavigate generating facilities and industrial environments.\nWalk across uneven surfaces.\nClimb stairs and access plant areas as necessary.\nPerform equipment walk-downs.\nWear required Personal Protective Equipment (PPE).\nWork in varying indoor and outdoor environmental conditions.\nTravel by vehicle or commercial transportation as required.\nMaintain regular and reliable attendance.\nData Analytics Analyst 1\n\nCompany: BLOC Resources\nClient: Southern Company\nLocation: 3535 Colonnade Parkway, Birmingham, AL 35243\nPay Rate: $32.00 – $36.55 per hour, based on experience and qualifications\nEmployment Type: Contract / Supplemental Workforce\nWork Location: Birmingham, AL\nTravel: Up to approximately 50%, including overnight travel to generating plants\nRelocation: Candidate must currently reside within commuting distance of Birmingham, AL or be willing to relocate at their own expense\n\nAbout BLOC Resources\n\nBLOC Resources is a workforce solutions provider connecting highly qualified professionals with opportunities across the utility, energy, engineering, technology, data analytics, project management, and infrastructure industries.\n\nWe are currently seeking a Data Analytics Analyst 1 to support Southern Company’s Operations Data Analytics organization in Birmingham, Alabama.\n\nThis position is ideal for an early-career data professional with strong analytical, technical, and problem-solving skills who is interested in applying data analytics within electric generation operations.\n\nThe successful candidate will support the onboarding and maintenance of generation assets, data standardization, equipment hierarchies, maintenance strategies, technical analysis, and work-management system data across Southern Company’s generation fleet.\n\nPosition Overview\n\nThe Data Analytics Analyst 1 will serve in a key support role within the Operations Data Analytics Department.\n\nThis position is responsible for supporting the onboarding of new generation assets and updating existing assets within enterprise systems for current and future construction projects, acquisitions, modernization initiatives, and large-scale retrofit projects.\n\nGeneration assets may include:\n\nSolar generation\n\nBattery Energy Storage Systems (BESS)\n\nCombined Cycle (CC) units\n\nCombustion Turbine (CT) units\n\nHydroelectric modernization projects\n\nEnvironmental retrofit projects\n\nOther generation assets and capital projects\n\nThe successful candidate will participate in project teams, gather and analyze equipment-related data, verify information with subject matter experts, and ensure accurate asset information is incorporated into Southern Company’s work management systems.\n\nThis role combines **data analytics, technical data management, field verification, business process support, and **asset management generation.\n\nKey Responsibilities\nGeneration Asset Onboarding\n\nSupport the onboarding of new generation assets into enterprise systems.\n\nUpdate existing generation assets associated with construction projects, acquisitions, modernization activities, and plant upgrades.\n\nGather equipment-related information from engineering documents, project teams, plant personnel, and subject matter experts.\n\nValidate asset information before entry into work management systems.\n\nAssist with developing appropriate equipment hierarchies.\n\nEnsure assets are accurately categorized within systems and subsystems.\n\nSupport data readiness prior to commercial operation of new generation assets.\n\nEquipment Data Management\n\nCreate, review, and maintain equipment records.\n\nSupport development and maintenance of:\n\nEquipment hierarchies\n\nPreventive maintenance activities\n\nJob plans\n\nInventory information\n\nAsset-related technical data\n\nReview equipment information for completeness, accuracy, and consistency.\n\nWork with plant representatives and project teams to resolve data discrepancies.\n\nEnsure accurate equipment identification and descriptions.\n\nD-11 Equipment Identification Standard\n\nSupport adherence to the D-11 Southern Company Equipment Identification and Description Standard.\n\nProvide guidance regarding appropriate equipment systems and subsystems.\n\nAssist project and plant teams with proper equipment classification.\n\nPromote standardization and consistency across equipment records.\n\nHelp ensure data entered into enterprise systems aligns with established Southern Company standards.\n\nData Analytics & Technical Analysis\n\nPerform daily analysis of technical and operational data.\n\nAnalyze data from multiple sources to identify inconsistencies, patterns, trends, and opportunities.\n\nAssist with data mining and data validation activities.\n\nDevelop insights that support operations, maintenance, and project decision-making.\n\nCompare similar generating units to identify differences and opportunities for improvement.\n\nAssist in identifying repeat issues or failures through data analysis.\n\nApply lessons learned and best practices across the generation fleet.\n\nData Integration & ETL\n\nSupport data extraction, transformation, and loading (ETL) processes.\n\nWork with multiple data sources and databases.\n\nPrepare and transform data for analysis and reporting.\n\nAssist with integrating data into work management and analytical systems.\n\nValidate data quality throughout the integration process.\n\nSupport process improvements that enhance data reliability and accessibility.\n\nWork Management System Support\n\nSupport data entry and maintenance within Maximo.\n\nAssist with developing equipment hierarchies within the work management system.\n\nReview equipment and maintenance information prior to system entry.\n\nSupport plants and project teams with Maximo-related data requirements.\n\nHelp ensure maintenance strategies are accurately incorporated into the system.\n\nAssist with identifying and resolving asset-data issues.\n\nMaintenance Strategy Development\n\nWork with project managers, plant personnel, engineers, and subject matter experts to:\n\nIdentify appropriate maintenance strategies.\n\nDevelop or review preventive maintenance activities.\n\nCreate or review job plans.\n\nSupport inventory-data development.\n\nEnsure appropriate maintenance information is available prior to plant commercial operation.\n\nAssist plants with maintaining consistent maintenance-data practices.\n\nField & Plant Support\n\nThis position requires significant interaction with Southern Company generating facilities.\n\nResponsibilities may include:\n\nVisiting generating plants.\n\nPerforming equipment walk-downs.\n\nVerifying asset and equipment information in the field.\n\nComparing field conditions with technical documentation.\n\nWorking directly with plant personnel.\n\nAssisting with plant questions and data concerns.\n\nGathering information necessary to update enterprise systems.\n\nSupporting project and operational teams during site visits.\n\nCandidates must be comfortable working in industrial generation environments.\n\nRequired Qualifications\nExperience\n\nApproximately 1–3 years of relevant data analytics, engineering, technical data, asset management, or related professional experience.\n\nExperience working with large datasets and multiple data sources.\n\nExperience analyzing and presenting technical or business data.\n\nDemonstrated ability to identify, evaluate, and resolve data-related issues.\n\nAbility to organize and manage multiple assignments simultaneously.\n\nEducation\n\nA Bachelor of Science degree is preferred in:\n\nEngineering\n\nBusiness\n\nComputer Science\n\nData Science\n\nAnalytics\n\nInformation Systems\n\nMathematics\n\nStatistics\n\nRelated technical discipline\n\nAppropriate professional experience may be considered in lieu of a degree.\n\nTechnical Skills\n\nCandidates should possess experience or working knowledge in the following areas:\n\nData Analysis & Programming\n\nPython\n\nR\n\nSQL\n\nStatistical analysis\n\nData transformation\n\nData cleansing\n\nData mining\n\nData visualization\n\nData Visualization\n\nExperience with one or more of the following:\n\nTableau\n\nPower BI\n\nMatplotlib\n\nSeaborn\n\nMicrosoft Reporting Services\n\nComparable reporting or visualization platforms\n\nData Integration\n\nETL processes\n\nData extraction\n\nData transformation\n\nData loading\n\nMulti-source data integration\n\nDatabase querying\n\nData-quality validation\n\nWork Management & Enterprise Tools\n\nExperience with or exposure to:\n\nMaximo\n\nMicrosoft Office\n\nAI-enabled analytical tools\n\nEnterprise asset-management systems\n\nReporting and analytics applications\n\nStatistical & Analytical Skills\n\nThe successful candidate should demonstrate knowledge of:\n\nStatistical analysis\n\nHypothesis testing\n\nData validation\n\nTrend analysis\n\nPredictive modeling concepts\n\nMachine learning fundamentals\n\nData-quality analysis\n\nBusiness and technical reporting\n\nExperience applying machine learning techniques to predictive modeling is beneficial.\n\nKnowledge, Skills & Competencies\n\nThe successful candidate should demonstrate:\n\nStrong analytical and problem-solving skills.\n\nAbility to work with technical and operational data.\n\nExcellent attention to detail.\n\nAbility to identify inconsistencies and errors within large datasets.\n\nStrong organizational skills.\n\nAbility to manage multiple projects and priorities simultaneously.\n\nAbility to distinguish urgent issues from matters that allow additional time for resolution.\n\nStrong written and verbal communication skills.\n\nAbility to work collaboratively with project managers, engineers, plant personnel, and technical specialists.\n\nAbility to work independently with limited supervision.\n\nAbility to quickly build effective working relationships.\n\nStrong customer-service orientation.\n\nQuestioning attitude and willingness to validate information.\n\nCommitment to continuous improvement.\n\nPreferred Qualifications\n\nAdditional consideration will be given to candidates with experience in:\n\nElectric utility operations\n\nPower generation\n\nGeneration plant operations\n\nAsset management\n\nEnterprise work management\n\nMaximo\n\nTableau\n\nPower BI\n\nMicrosoft Reporting Services\n\nAI-assisted analytics\n\nEquipment hierarchy development\n\nPreventive maintenance programs\n\nReliability or maintenance data\n\nGeneration construction projects\n\nRenewable energy projects\n\nBattery Energy Storage Systems\n\nGas-fired generation\n\nHydroelectric generation\n\nBehavioral Attributes\n\nSuccessful candidates should demonstrate Southern Company values, including:\n\nSafety First\n\nIntentional Inclusion\n\nAct With Integrity\n\nSuperior Performance\n\nCandidates should also demonstrate:\n\nTeamwork and collaboration.\n\nSelf-motivation.\n\nResults orientation.\n\nStrong work ethic.\n\nGoal-focused performance.\n\nStrong organizational skills.\n\nExcellent communication.\n\nAttention to minute details.\n\nContinuous improvement mindset.\n\nWillingness to ask questions and verify information.\n\nAccountability for assigned responsibilities.\n\nTravel Requirements\n\nThis position requires significant travel throughout the Southern Company Generation fleet.\n\nCandidates must be willing and able to:\n\nTravel approximately 50% per year.\n\nTravel to generating plants and project sites.\n\nParticipate in overnight travel.\n\nConduct field walk-downs of generating equipment.\n\nWork with plant personnel in active industrial environments.\n\nTravel based on project and operational requirements.\n\nPhysical Requirements\n\nBecause this position includes generating-plant field support, candidates must be able to:\n\nWork at a computer workstation for extended periods.\n\nStand and walk for extended periods during plant visits.\n\nNavigate generating facilities and industrial environments.\n\nWalk across uneven surfaces.\n\nClimb stairs and access plant areas as necessary.\n\nPerform equipment walk-downs.\n\nWear required Personal Protective Equipment (PPE).\n\nWork in varying indoor and outdoor environmental conditions.\n\nTravel by vehicle or commercial transportation as required.\n\nMaintain regular and reliable attendance.\n\nWork Location & Relocation Requirements\n\nThis position is based at:\n\n3535 Colonnade Parkway\nBirmingham, AL 35243\n\nCandidates must either:\n\nCurrently reside within a reasonable commuting distance of Birmingham, Alabama,\n\nOR\n\nBe willing to relocate to the Birmingham area at their own expense.\n\nThe ability to regularly report to the Birmingham work location and travel to Southern Company generating facilities is a requirement of this assignment.\n\nCompensation\n$32.00 – $36.55 per hour\n\nFinal compensation will be determined based on the candidate’s data analytics experience, technical capabilities, education, utility or generation experience, Maximo knowledge, programming proficiency, and overall qualifications.\n\nAdditional Benefits of Working Through BLOC Resources Include:\n\nAccess to contractor support resources through BLOC Resources, including onboarding assistance and dedicated recruiter support.\n\nOpportunity to gain hands-on experience supporting Southern Company generation assets and Operations Data Analytics.\n\nExposure to solar, BESS, natural gas, hydroelectric, environmental, and large-scale generation projects.\n\nOpportunity to develop expertise with Maximo, data analytics, asset management, equipment hierarchy development, and maintenance strategies.\n\nExperience collaborating with engineers, project managers, plant personnel, and technical subject matter experts.\n\nExposure to enterprise-scale data management and generation fleet standardization.\n\nPotential for contract extension or long-term placement based on performance and business needs.\n\nOngoing support from the BLOC Resources recruiting and operations team throughout the assignment.\n\nWhy Join BLOC Resources?\n\nThis opportunity provides an early-career data professional with a unique combination of data analytics, power generation, asset management, field operations, and technology.\n\nAs a Data Analytics Analyst 1, you will have the opportunity to work with data supporting real generation assets while gaining exposure to the complete lifecycle of generation projects—from construction and acquisition through commercial operation and ongoing maintenance.\n\nThe role offers particularly valuable experience for professionals interested in energy analytics, asset management, utility operations, reliability, generation technology, and enterprise data systems.\n\nApply Today\n\nQualified candidates are encouraged to submit an updated resume highlighting experience with:\n\nPython, R, and/or SQL\n\nData analytics and visualization\n\nETL and data integration\n\nTableau or Power BI\n\nMaximo\n\nStatistical analysis\n\nAsset or equipment data\n\nUtility or generation operations\n\nTechnical project support\n\nData-quality management\n\nCandidates should clearly indicate their ability to commute to Birmingham, AL and travel up to approximately 50% to Southern Company generating facilities.\n\nSelected candidates will be contacted by a BLOC Resources recruiter regarding the next steps in the hiring process.","company":"Bloc Resources","rawCompany":"bloc resources","city":"Birmingham","state":"AL","isRemote":false,"isActive":false,"createdAt":"2026-08-19T17:37:49.421Z","occupations":[{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"221118","title":"Other Electric Power Generation","slug":"other-electric-power-generation"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"221114","title":"Solar Electric Power Generation","slug":"solar-electric-power-generation"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Analyst 1","description":"Position Overview\n\nThe Data Analytics Analyst 1 will serve in a key support role within the Operations Data Analytics Department.\n\nThis position is responsible for supporting the onboarding of new generation assets and updating existing assets within enterprise systems for current and future construction projects, acquisitions, modernization initiatives, and large-scale retrofit projects.\n\nGeneration assets may include:\n\nSolar generation\nBattery Energy Storage Systems (BESS)\nCombined Cycle (CC) units\nCombustion Turbine (CT) units\nHydroelectric modernization projects\nEnvironmental retrofit projects\nOther generation assets and capital projects\n\nThe successful candidate will participate in project teams, gather and analyze equipment-related data, verify information with subject matter experts, and ensure accurate asset information is incorporated into Southern Company’s work management systems.\n\nThis role combines data analytics, technical data management, field verification, business process support, and asset management generation.\n\nKey Responsibilities\nGeneration Asset Onboarding\nSupport the onboarding of new generation assets into enterprise systems.\nUpdate existing generation assets associated with construction projects, acquisitions, modernization activities, and plant upgrades.\nGather equipment-related information from engineering documents, project teams, plant personnel, and subject matter experts.\nValidate asset information before entry into work management systems.\nAssist with developing appropriate equipment hierarchies.\nEnsure assets are accurately categorized within systems and subsystems.\nSupport data readiness prior to commercial operation of new generation assets.\nEquipment Data Management\nCreate, review, and maintain equipment records.\nSupport development and maintenance of:\nEquipment hierarchies\nPreventive maintenance activities\nJob plans\nInventory information\nAsset-related technical data\nReview equipment information for completeness, accuracy, and consistency.\nWork with plant representatives and project teams to resolve data discrepancies.\nEnsure accurate equipment identification and descriptions.\nD-11 Equipment Identification Standard\nSupport adherence to the D-11 Southern Company Equipment Identification and Description Standard.\nProvide guidance regarding appropriate equipment systems and subsystems.\nAssist project and plant teams with proper equipment classification.\nPromote standardization and consistency across equipment records.\nHelp ensure data entered into enterprise systems aligns with established Southern Company standards.\nData Analytics & Technical Analysis\nPerform daily analysis of technical and operational data.\nAnalyze data from multiple sources to identify inconsistencies, patterns, trends, and opportunities.\nAssist with data mining and data validation activities.\nDevelop insights that support operations, maintenance, and project decision-making.\nCompare similar generating units to identify differences and opportunities for improvement.\nAssist in identifying repeat issues or failures through data analysis.\nApply lessons learned and best practices across the generation fleet.\nData Integration & ETL\nSupport data extraction, transformation, and loading (ETL) processes.\nWork with multiple data sources and databases.\nPrepare and transform data for analysis and reporting.\nAssist with integrating data into work management and analytical systems.\nValidate data quality throughout the integration process.\nSupport process improvements that enhance data reliability and accessibility.\nWork Management System Support\nSupport data entry and maintenance within Maximo.\nAssist with developing equipment hierarchies within the work management system.\nReview equipment and maintenance information prior to system entry.\nSupport plants and project teams with Maximo-related data requirements.\nHelp ensure maintenance strategies are accurately incorporated into the system.\nAssist with identifying and resolving asset-data issues.\nMaintenance Strategy Development\n\nWork with project managers, plant personnel, engineers, and subject matter experts to:\n\nIdentify appropriate maintenance strategies.\nDevelop or review preventive maintenance activities.\nCreate or review job plans.\nSupport inventory-data development.\nEnsure appropriate maintenance information is available prior to plant commercial operation.\nAssist plants with maintaining consistent maintenance-data practices.\nField & Plant Support\n\nThis position requires significant interaction with Southern Company generating facilities.\n\nResponsibilities may include:\n\nVisiting generating plants.\nPerforming equipment walk-downs.\nVerifying asset and equipment information in the field.\nComparing field conditions with technical documentation.\nWorking directly with plant personnel.\nAssisting with plant questions and data concerns.\nGathering information necessary to update enterprise systems.\nSupporting project and operational teams during site visits.\n\nCandidates must be comfortable working in industrial generation environments.\n\nRequired Qualifications\nExperience\nApproximately 1–3 years of relevant data analytics, engineering, technical data, asset management, or related professional experience.\nExperience working with large datasets and multiple data sources.\nExperience analyzing and presenting technical or business data.\nDemonstrated ability to identify, evaluate, and resolve data-related issues.\nAbility to organize and manage multiple assignments simultaneously.\nEducation\n\nA Bachelor of Science degree is preferred in:\n\nEngineering\nBusiness\nComputer Science\nData Science\nAnalytics\nInformation Systems\nMathematics\nStatistics\nRelated technical discipline\n\nAppropriate professional experience may be considered in lieu of a degree.\n\nTechnical Skills\n\nCandidates should possess experience or working knowledge in the following areas:\n\nData Analysis & Programming\nPython\nR\nSQL\nStatistical analysis\nData transformation\nData cleansing\nData mining\nData visualization\nData Visualization\n\nExperience with one or more of the following:\n\nTableau\nPower BI\nMatplotlib\nSeaborn\nMicrosoft Reporting Services\nComparable reporting or visualization platforms\nData Integration\nETL processes\nData extraction\nData transformation\nData loading\nMulti-source data integration\nDatabase querying\nData-quality validation\nWork Management & Enterprise Tools\n\nExperience with or exposure to:\n\nMaximo\nMicrosoft Office\nAI-enabled analytical tools\nEnterprise asset-management systems\nReporting and analytics applications\nStatistical & Analytical Skills\n\nThe successful candidate should demonstrate knowledge of:\n\nStatistical analysis\nHypothesis testing\nData validation\nTrend analysis\nPredictive modeling concepts\nMachine learning fundamentals\nData-quality analysis\nBusiness and technical reporting\n\nExperience applying machine learning techniques to predictive modeling is beneficial.\n\nKnowledge, Skills & Competencies\n\nThe successful candidate should demonstrate:\n\nStrong analytical and problem-solving skills.\nAbility to work with technical and operational data.\nExcellent attention to detail.\nAbility to identify inconsistencies and errors within large datasets.\nStrong organizational skills.\nAbility to manage multiple projects and priorities simultaneously.\nAbility to distinguish urgent issues from matters that allow additional time for resolution.\nStrong written and verbal communication skills.\nAbility to work collaboratively with project managers, engineers, plant personnel, and technical specialists.\nAbility to work independently with limited supervision.\nAbility to quickly build effective working relationships.\nStrong customer-service orientation.\nQuestioning attitude and willingness to validate information.\nCommitment to continuous improvement.\nPreferred Qualifications\n\nAdditional consideration will be given to candidates with experience in:\n\nElectric utility operations\nPower generation\nGeneration plant operations\nAsset management\nEnterprise work management\nMaximo\nTableau\nPower BI\nMicrosoft Reporting Services\nAI-assisted analytics\nEquipment hierarchy development\nPreventive maintenance programs\nReliability or maintenance data\nGeneration construction projects\nRenewable energy projects\nBattery Energy Storage Systems\nGas-fired generation\nHydroelectric generation\nBehavioral Attributes\n\nSuccessful candidates should demonstrate Southern Company values, including:\n\nSafety First\nIntentional Inclusion\nAct With Integrity\nSuperior Performance\n\nCandidates should also demonstrate:\n\nTeamwork and collaboration.\nSelf-motivation.\nResults orientation.\nStrong work ethic.\nGoal-focused performance.\nStrong organizational skills.\nExcellent communication.\nAttention to minute details.\nContinuous improvement mindset.\nWillingness to ask questions and verify information.\nAccountability for assigned responsibilities.\nTravel Requirements\n\nThis position requires significant travel throughout the Southern Company Generation fleet.\n\nCandidates must be willing and able to:\n\nTravel approximately 50% per year.\nTravel to generating plants and project sites.\nParticipate in overnight travel.\nConduct field walk-downs of generating equipment.\nWork with plant personnel in active industrial environments.\nTravel based on project and operational requirements.\nPhysical Requirements\n\nBecause this position includes generating-plant field support, candidates must be able to:\n\nWork at a computer workstation for extended periods.\nStand and walk for extended periods during plant visits.\nNavigate generating facilities and industrial environments.\nWalk across uneven surfaces.\nClimb stairs and access plant areas as necessary.\nPerform equipment walk-downs.\nWear required Personal Protective Equipment (PPE).\nWork in varying indoor and outdoor environmental conditions.\nTravel by vehicle or commercial transportation as required.\nMaintain regular and reliable attendance.\nData Analytics Analyst 1\n\nCompany: BLOC Resources\nClient: Southern Company\nLocation: 3535 Colonnade Parkway, Birmingham, AL 35243\nPay Rate: $32.00 – $36.55 per hour, based on experience and qualifications\nEmployment Type: Contract / Supplemental Workforce\nWork Location: Birmingham, AL\nTravel: Up to approximately 50%, including overnight travel to generating plants\nRelocation: Candidate must currently reside within commuting distance of Birmingham, AL or be willing to relocate at their own expense\n\nAbout BLOC Resources\n\nBLOC Resources is a workforce solutions provider connecting highly qualified professionals with opportunities across the utility, energy, engineering, technology, data analytics, project management, and infrastructure industries.\n\nWe are currently seeking a Data Analytics Analyst 1 to support Southern Company’s Operations Data Analytics organization in Birmingham, Alabama.\n\nThis position is ideal for an early-career data professional with strong analytical, technical, and problem-solving skills who is interested in applying data analytics within electric generation operations.\n\nThe successful candidate will support the onboarding and maintenance of generation assets, data standardization, equipment hierarchies, maintenance strategies, technical analysis, and work-management system data across Southern Company’s generation fleet.\n\nPosition Overview\n\nThe Data Analytics Analyst 1 will serve in a key support role within the Operations Data Analytics Department.\n\nThis position is responsible for supporting the onboarding of new generation assets and updating existing assets within enterprise systems for current and future construction projects, acquisitions, modernization initiatives, and large-scale retrofit projects.\n\nGeneration assets may include:\n\nSolar generation\n\nBattery Energy Storage Systems (BESS)\n\nCombined Cycle (CC) units\n\nCombustion Turbine (CT) units\n\nHydroelectric modernization projects\n\nEnvironmental retrofit projects\n\nOther generation assets and capital projects\n\nThe successful candidate will participate in project teams, gather and analyze equipment-related data, verify information with subject matter experts, and ensure accurate asset information is incorporated into Southern Company’s work management systems.\n\nThis role combines **data analytics, technical data management, field verification, business process support, and **asset management generation.\n\nKey Responsibilities\nGeneration Asset Onboarding\n\nSupport the onboarding of new generation assets into enterprise systems.\n\nUpdate existing generation assets associated with construction projects, acquisitions, modernization activities, and plant upgrades.\n\nGather equipment-related information from engineering documents, project teams, plant personnel, and subject matter experts.\n\nValidate asset information before entry into work management systems.\n\nAssist with developing appropriate equipment hierarchies.\n\nEnsure assets are accurately categorized within systems and subsystems.\n\nSupport data readiness prior to commercial operation of new generation assets.\n\nEquipment Data Management\n\nCreate, review, and maintain equipment records.\n\nSupport development and maintenance of:\n\nEquipment hierarchies\n\nPreventive maintenance activities\n\nJob plans\n\nInventory information\n\nAsset-related technical data\n\nReview equipment information for completeness, accuracy, and consistency.\n\nWork with plant representatives and project teams to resolve data discrepancies.\n\nEnsure accurate equipment identification and descriptions.\n\nD-11 Equipment Identification Standard\n\nSupport adherence to the D-11 Southern Company Equipment Identification and Description Standard.\n\nProvide guidance regarding appropriate equipment systems and subsystems.\n\nAssist project and plant teams with proper equipment classification.\n\nPromote standardization and consistency across equipment records.\n\nHelp ensure data entered into enterprise systems aligns with established Southern Company standards.\n\nData Analytics & Technical Analysis\n\nPerform daily analysis of technical and operational data.\n\nAnalyze data from multiple sources to identify inconsistencies, patterns, trends, and opportunities.\n\nAssist with data mining and data validation activities.\n\nDevelop insights that support operations, maintenance, and project decision-making.\n\nCompare similar generating units to identify differences and opportunities for improvement.\n\nAssist in identifying repeat issues or failures through data analysis.\n\nApply lessons learned and best practices across the generation fleet.\n\nData Integration & ETL\n\nSupport data extraction, transformation, and loading (ETL) processes.\n\nWork with multiple data sources and databases.\n\nPrepare and transform data for analysis and reporting.\n\nAssist with integrating data into work management and analytical systems.\n\nValidate data quality throughout the integration process.\n\nSupport process improvements that enhance data reliability and accessibility.\n\nWork Management System Support\n\nSupport data entry and maintenance within Maximo.\n\nAssist with developing equipment hierarchies within the work management system.\n\nReview equipment and maintenance information prior to system entry.\n\nSupport plants and project teams with Maximo-related data requirements.\n\nHelp ensure maintenance strategies are accurately incorporated into the system.\n\nAssist with identifying and resolving asset-data issues.\n\nMaintenance Strategy Development\n\nWork with project managers, plant personnel, engineers, and subject matter experts to:\n\nIdentify appropriate maintenance strategies.\n\nDevelop or review preventive maintenance activities.\n\nCreate or review job plans.\n\nSupport inventory-data development.\n\nEnsure appropriate maintenance information is available prior to plant commercial operation.\n\nAssist plants with maintaining consistent maintenance-data practices.\n\nField & Plant Support\n\nThis position requires significant interaction with Southern Company generating facilities.\n\nResponsibilities may include:\n\nVisiting generating plants.\n\nPerforming equipment walk-downs.\n\nVerifying asset and equipment information in the field.\n\nComparing field conditions with technical documentation.\n\nWorking directly with plant personnel.\n\nAssisting with plant questions and data concerns.\n\nGathering information necessary to update enterprise systems.\n\nSupporting project and operational teams during site visits.\n\nCandidates must be comfortable working in industrial generation environments.\n\nRequired Qualifications\nExperience\n\nApproximately 1–3 years of relevant data analytics, engineering, technical data, asset management, or related professional experience.\n\nExperience working with large datasets and multiple data sources.\n\nExperience analyzing and presenting technical or business data.\n\nDemonstrated ability to identify, evaluate, and resolve data-related issues.\n\nAbility to organize and manage multiple assignments simultaneously.\n\nEducation\n\nA Bachelor of Science degree is preferred in:\n\nEngineering\n\nBusiness\n\nComputer Science\n\nData Science\n\nAnalytics\n\nInformation Systems\n\nMathematics\n\nStatistics\n\nRelated technical discipline\n\nAppropriate professional experience may be considered in lieu of a degree.\n\nTechnical Skills\n\nCandidates should possess experience or working knowledge in the following areas:\n\nData Analysis & Programming\n\nPython\n\nR\n\nSQL\n\nStatistical analysis\n\nData transformation\n\nData cleansing\n\nData mining\n\nData visualization\n\nData Visualization\n\nExperience with one or more of the following:\n\nTableau\n\nPower BI\n\nMatplotlib\n\nSeaborn\n\nMicrosoft Reporting Services\n\nComparable reporting or visualization platforms\n\nData Integration\n\nETL processes\n\nData extraction\n\nData transformation\n\nData loading\n\nMulti-source data integration\n\nDatabase querying\n\nData-quality validation\n\nWork Management & Enterprise Tools\n\nExperience with or exposure to:\n\nMaximo\n\nMicrosoft Office\n\nAI-enabled analytical tools\n\nEnterprise asset-management systems\n\nReporting and analytics applications\n\nStatistical & Analytical Skills\n\nThe successful candidate should demonstrate knowledge of:\n\nStatistical analysis\n\nHypothesis testing\n\nData validation\n\nTrend analysis\n\nPredictive modeling concepts\n\nMachine learning fundamentals\n\nData-quality analysis\n\nBusiness and technical reporting\n\nExperience applying machine learning techniques to predictive modeling is beneficial.\n\nKnowledge, Skills & Competencies\n\nThe successful candidate should demonstrate:\n\nStrong analytical and problem-solving skills.\n\nAbility to work with technical and operational data.\n\nExcellent attention to detail.\n\nAbility to identify inconsistencies and errors within large datasets.\n\nStrong organizational skills.\n\nAbility to manage multiple projects and priorities simultaneously.\n\nAbility to distinguish urgent issues from matters that allow additional time for resolution.\n\nStrong written and verbal communication skills.\n\nAbility to work collaboratively with project managers, engineers, plant personnel, and technical specialists.\n\nAbility to work independently with limited supervision.\n\nAbility to quickly build effective working relationships.\n\nStrong customer-service orientation.\n\nQuestioning attitude and willingness to validate information.\n\nCommitment to continuous improvement.\n\nPreferred Qualifications\n\nAdditional consideration will be given to candidates with experience in:\n\nElectric utility operations\n\nPower generation\n\nGeneration plant operations\n\nAsset management\n\nEnterprise work management\n\nMaximo\n\nTableau\n\nPower BI\n\nMicrosoft Reporting Services\n\nAI-assisted analytics\n\nEquipment hierarchy development\n\nPreventive maintenance programs\n\nReliability or maintenance data\n\nGeneration construction projects\n\nRenewable energy projects\n\nBattery Energy Storage Systems\n\nGas-fired generation\n\nHydroelectric generation\n\nBehavioral Attributes\n\nSuccessful candidates should demonstrate Southern Company values, including:\n\nSafety First\n\nIntentional Inclusion\n\nAct With Integrity\n\nSuperior Performance\n\nCandidates should also demonstrate:\n\nTeamwork and collaboration.\n\nSelf-motivation.\n\nResults orientation.\n\nStrong work ethic.\n\nGoal-focused performance.\n\nStrong organizational skills.\n\nExcellent communication.\n\nAttention to minute details.\n\nContinuous improvement mindset.\n\nWillingness to ask questions and verify information.\n\nAccountability for assigned responsibilities.\n\nTravel Requirements\n\nThis position requires significant travel throughout the Southern Company Generation fleet.\n\nCandidates must be willing and able to:\n\nTravel approximately 50% per year.\n\nTravel to generating plants and project sites.\n\nParticipate in overnight travel.\n\nConduct field walk-downs of generating equipment.\n\nWork with plant personnel in active industrial environments.\n\nTravel based on project and operational requirements.\n\nPhysical Requirements\n\nBecause this position includes generating-plant field support, candidates must be able to:\n\nWork at a computer workstation for extended periods.\n\nStand and walk for extended periods during plant visits.\n\nNavigate generating facilities and industrial environments.\n\nWalk across uneven surfaces.\n\nClimb stairs and access plant areas as necessary.\n\nPerform equipment walk-downs.\n\nWear required Personal Protective Equipment (PPE).\n\nWork in varying indoor and outdoor environmental conditions.\n\nTravel by vehicle or commercial transportation as required.\n\nMaintain regular and reliable attendance.\n\nWork Location & Relocation Requirements\n\nThis position is based at:\n\n3535 Colonnade Parkway\nBirmingham, AL 35243\n\nCandidates must either:\n\nCurrently reside within a reasonable commuting distance of Birmingham, Alabama,\n\nOR\n\nBe willing to relocate to the Birmingham area at their own expense.\n\nThe ability to regularly report to the Birmingham work location and travel to Southern Company generating facilities is a requirement of this assignment.\n\nCompensation\n$32.00 – $36.55 per hour\n\nFinal compensation will be determined based on the candidate’s data analytics experience, technical capabilities, education, utility or generation experience, Maximo knowledge, programming proficiency, and overall qualifications.\n\nAdditional Benefits of Working Through BLOC Resources Include:\n\nAccess to contractor support resources through BLOC Resources, including onboarding assistance and dedicated recruiter support.\n\nOpportunity to gain hands-on experience supporting Southern Company generation assets and Operations Data Analytics.\n\nExposure to solar, BESS, natural gas, hydroelectric, environmental, and large-scale generation projects.\n\nOpportunity to develop expertise with Maximo, data analytics, asset management, equipment hierarchy development, and maintenance strategies.\n\nExperience collaborating with engineers, project managers, plant personnel, and technical subject matter experts.\n\nExposure to enterprise-scale data management and generation fleet standardization.\n\nPotential for contract extension or long-term placement based on performance and business needs.\n\nOngoing support from the BLOC Resources recruiting and operations team throughout the assignment.\n\nWhy Join BLOC Resources?\n\nThis opportunity provides an early-career data professional with a unique combination of data analytics, power generation, asset management, field operations, and technology.\n\nAs a Data Analytics Analyst 1, you will have the opportunity to work with data supporting real generation assets while gaining exposure to the complete lifecycle of generation projects—from construction and acquisition through commercial operation and ongoing maintenance.\n\nThe role offers particularly valuable experience for professionals interested in energy analytics, asset management, utility operations, reliability, generation technology, and enterprise data systems.\n\nApply Today\n\nQualified candidates are encouraged to submit an updated resume highlighting experience with:\n\nPython, R, and/or SQL\n\nData analytics and visualization\n\nETL and data integration\n\nTableau or Power BI\n\nMaximo\n\nStatistical analysis\n\nAsset or equipment data\n\nUtility or generation operations\n\nTechnical project support\n\nData-quality management\n\nCandidates should clearly indicate their ability to commute to Birmingham, AL and travel up to approximately 50% to Southern Company generating facilities.\n\nSelected candidates will be contacted by a BLOC Resources recruiter regarding the next steps in the hiring process.","datePosted":"2026-08-19T17:37:49.421Z","dateModified":"2026-08-19T17:37:49.421Z","hiringOrganization":{"@type":"Organization","name":"Bloc Resources","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Birmingham","addressRegion":"AL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2c3dc61fa955ab0dc2f770e2"},"url":"https://jobsearcher.com/jobs/2c3dc61fa955ab0dc2f770e2"}}